Variability explained by covariates in linear mixed-effect models for longitudinal data

DOI10.1002/cjs.10074zbMath1235.62078OpenAlexW1970823887MaRDI QIDQ3589851

Mari Palta, Jun Shao, Bo Hu

Publication date: 20 September 2010

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.10074

zbMATH Keywords

random interceptexplained variancerandom slope\(R^{2}\) statisticscompound symmetry projection

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Estimation in multivariate analysis (62H12) Parametric tolerance and confidence regions (62F25) Linear regression; mixed models (62J05)

Cites Work

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• The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data
• Information gain and a general measure of correlation
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Applied regression analysis bibliography update 1994-97
• Predictive Accuracy and Explained Variation in Cox Regression
• On the Interpretation and Use of R 2 in Regression Analysis
• Linear mixed models for longitudinal data

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